Comparative analysis of CNN filter sizes

Evaluating impact of receptive field in Encoder-Decoder and U-Net models for Lane Detection Segmentation

Susanta Deka, Kalyani Kotti (Advisor: Dr. Cohen)

2025-04-24

Image Classification vs Semantic Segmentation

  • Classification - assign a label

  • Image classification —> single label

  • Cat or Dog

Image Classification vs Semantic Segmentation

  • Semantic Segmentation -> assign a label to each pixel

  • Output -> Mask

Convolution Layer

  • Typical CNN architecture

Convolution Layer - Animation

  • Typical CNN architecture

Data Exploration and Visualization

  • Describe your data sources and collection process.

  • Present initial findings and insights through visualizations.

  • Highlight unexpected patterns or anomalies.

Data Exploration and Visualization

A study was conducted to determine how…

Modeling and Results

  • Explain your data preprocessing and cleaning steps.

  • Present your key findings in a clear and concise manner.

  • Use visuals to support your claims.

  • Tell a story about what the data reveals.

Conclusion

  • Summarize your key findings.

  • Discuss the implications of your results.

References